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We examined depression and anxiety prior to and during COVID-19 restrictions in Australian gay and bisexual men (GBM). In an online cohort, a COVID-19-focused survey was conducted in April 2020. During 2019 and in April 2020, 664 GBM completed the Patient Health Questionnaire (PHQ-9, measuring depression) and Generalized Anxiety Disorder Assessment (GAD-7, measuring anxiety). Increased depression and anxiety were defined as a ≥ 5 point increase on the respective scales. Mean PHQ-9 and GAD-7 scores increased between 2019 and 2020 (PHQ-9: from 5.11 in 2019 to 6.55 in 2020; GAD-7: from 3.80 in 2019 to 4.95 in 2020). The proportion of participants with moderate-severe depression (PHQ-9 ≥ 10) increased from 18.8% ( n  = 125) to 25.5% ( n  = 169), while the proportion of participants with moderate-severe anxiety (GAD-7 ≥ 10) increased from 12.7% ( n  = 84) to 17.3% ( n  = 115). Almost one-quarter of participants ( n  = 158, 23.8%) had increased depression; in these men, mean PHQ-9 increased from 2.49 in 2019 to 11.65 in 2020 ( p  < 0.001). One-in-five (20.6%) participants ( n  = 137) had increased anxiety; among these men, mean GAD-7 increased from 2.05 in 2019 to 10.22 in 2020 ( p  < 0.001). Increases were associated with concerns about job security, reduction in social and sexual connections and opportunities, and being personally concerned about COVID-19 itself. COVID-19 appeared to have a sudden and pronounced impact on depression and anxiety in Australian GBM, with a significant minority showing sharp increases. Ongoing monitoring is required to determine longer-term impacts and GBM need access to appropriate and sensitive supports both during and after the COVID-19 pandemic.

People who inject drugs (PWID) are the group most affected by HCV; however, treatment uptake has been low. Engagement between PWID and healthcare workers has been characterized by mistrust and discrimination. Peer support for HCV is one way to overcome these barriers. Peer support models for chronic disease management have been successfully applied for other diseases. HCV peer support models have been implemented in various settings, but those that include opioid substitution treatment have been more common. Most models have been either service generated (provider led) or community controlled (peer led). Peer support models have been implemented successfully, with a range of outcomes including increased treatment knowledge and uptake and improved service provision. Genuine partnerships between peers and services were common across models and led to positive transformations for both clients and services. Further investigation of peer support for HCV treatment and its impact on both individuals and services is recommended.

Interventions are required that address delays in treatment-seeking and low treatment coverage among people consuming methamphetamine. We aim to determine whether a self-administered smartphone-based intervention, the \"S-Check app\" can increase help-seeking and motivation to change methamphetamine use, and determine factors associated with app engagement. This study is a randomized, 28-day waitlist-controlled trial. Consenting adults residing in Australia who reported using methamphetamine at least once in the last month were eligible to download the app for free from Android or iOS app stores. Those randomized to the intervention group had immediate access to the S-Check app, the control group was wait-listed for 28 days before gaining access, and then all had access until day 56. Actual help-seeking and intention to seek help were assessed by the modified Actual Help Seeking Questionnaire (mAHSQ), modified General Help Seeking Questionnaire, and motivation to change methamphetamine use by the modified readiness ruler. χ comparisons of the proportion of positive responses to the mAHSQ, modified General Help Seeking Questionnaire, and modified readiness ruler were conducted between the 2 groups. Logistic regression models compared the odds of actual help-seeking, intention to seek help, and motivation to change at day 28 between the 2 groups. Secondary outcomes were the most commonly accessed features of the app, methamphetamine use, feasibility and acceptability of the app, and associations between S-Check app engagement and participant demographic and methamphetamine use characteristics. In total, 560 participants downloaded the app; 259 (46.3%) completed eConsent and baseline; and 84 (32.4%) provided data on day 28. Participants in the immediate access group were more likely to seek professional help (mAHSQ) at day 28 than those in the control group (n=15, 45.5% vs n=12, 23.5%; χ =4.42, P=.04). There was no significant difference in the odds of actual help-seeking, intention to seek help, or motivation to change methamphetamine use between the 2 groups on the primary logistic regression analyses, while in the ancillary analyses, the imputed data set showed a significant difference in the odds of seeking professional help between participants in the immediate access group compared to the waitlist control group (adjusted odds ratio 2.64, 95% CI 1.19-5.83, P=.02). For participants not seeking help at baseline, each minute in the app increased the likelihood of seeking professional help by day 28 by 8% (ratio 1.08, 95% CI 1.02-1.22, P=.04). Among the intervention group, a 10-minute increase in app engagement time was associated with a decrease in days of methamphetamine use by 0.4 days (regression coefficient [β] -0.04, P=.02). The S-Check app is a feasible low-resource self-administered intervention for adults in Australia who consume methamphetamine. Study attrition was high and, while common in mobile health interventions, warrants larger studies of the S-Check app. Australian New Zealand Clinical Trials Registry ACTRN12619000534189; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377288&isReview=true.

Background. Access to hepatitis C virus (HCV) treatment remains extremely limited among people who inject drugs (PWID). HCV assessment and treatment was evaluated through an innovative model for the provision of HCV care among PWID with chronic HCV infection. Methods. Enhancing Treatment for Hepatitis C in Opioid Substitution Settings (ETHOS) was a prospective observational cohort. Recruitment was through 5 opioid substitution treatment (OST) clinics, 2 community health centers, and 1 Aboriginal community controlled health organization in New South Wales, Australia. Results. Among 387 enrolled participants, mean age was 41 years, 71% were male, and 15% were of Aboriginal ethnicity. Specialist assessment was undertaken in 191 (49%) participants, and 84 (22%) commenced interferon-based treatment. In adjusted analysis, HCV specialist assessment was associated with non-Aboriginal ethnicity (adjusted odds ratio [AOR], 4.02; 95% confidence interval [CI], 2.05–7.90), no recent benzodiazepine use (AOR, 2.06; 95% CI, 1.31–3.24), and non-1 HCV genotype (AOR, 2.13; 95% CI, 1.32–3.43). In adjusted analysis, HCV treatment was associated with non-Aboriginal ethnicity (AOR, 4.59; 95% CI, 1.49–14.12), living with the support of family and/or friends (AOR, 2.15; 95% CI, 1.25–3.71), never receiving OST (AOR, 4.40; 95% CI, 2.27–8.54), no recent methamphetamine use (AOR, 2.26; 95% CI, 1.12–4.57), and non-1 HCV genotype (AOR, 3.07; 95% CI, 1.67–5.64). Conclusions. HCV treatment uptake was relatively high among this highly marginalized population of PWID. Potentially modifiable factors associated with treatment include drug use and social support.

Injecting drug use is commonly reported among gay and bisexual men in Australia. We examined the prevalence and covariates of injecting drug use among men participating in the Sydney Gay Community Periodic Survey between 2004–06 and 2011. In 2004–06, data was collected about which drugs were injected, while in 2011, data was collected about hepatitis C (HCV) and esoteric sexual practices. In 2004–06, 5.6 % of men reported injecting drugs in the previous 6 months; 3.4 % reported methamphetamine injection and 0.4 % heroin injection. In 2011, men who injected drugs were less likely to be employed full-time, and more likely to be HCV-positive, HIV-positive, to have used party drugs for sex, and to have engaged in esoteric sexual practices. The strong associations between injecting drug use, sexual risk practices and blood-borne virus infection suggests the need for combined sexual health and harm reduction services for gay and bisexual men who inject drugs.

Background With direct-acting antivirals dramatically reshaping the public health response to the hepatitis C virus (HCV), prisons are set to play a critical role in elimination efforts. Despite the theoretical demonstration of HCV treatment-as-prevention in prison in mathematical modeling, limited empirical data exist. The Australian ‘Surveillance and Treatment of Prisoners with Hepatitis C’ project (SToP-C) is the world’s first trial of HCV treatment-as-prevention in prison. Drawing on interviews with HCV expert stakeholders, this paper explores the factors respondents identified as crucial to the success of future scale-up. Accounting for such perspectives matters because of the influence expert discourse has in shaping implementation. Methods Semi-structured interviews were conducted with nineteen HCV experts working across key policy, advocacy, research and clinical dimensions of the Australian HCV response. Data were coded using qualitative data management software (NVivo 11). Analysis proceeded via a hybrid deductive and inductive approach. Results Notwithstanding concerns regarding the lack of primary prevention in Australian prisons, stakeholders reported broad levels of support for the intervention and for the future scale-up of HCV treatment. A number of considerations, both external and internal to the prison system, were identified as key. The principal external factor was an enabling political-cum-policy environment; internal factors included: obtaining support from prisons’ executive and custodial staff; promoting health within a security-first institutional culture; allocating time for treatment within prisoners’ tightly regulated schedules; ensuring institutional stability during treatment given the routine movement of prisoners between prisons; prioritizing the availability of retreatment given the paucity of primary prevention; and securing sufficient clinical space for treatment. Conclusion The challenges to implementation are considerable, ranging from macrolevel concerns to in-prison logistical matters. Nonetheless, we argue that prisons remain an obvious setting for treatment scale-up, not only for prevention and potential elimination benefit, but for the treatment opportunities they afford a socially disadvantaged and underserved population. While noting widespread concerns among respondents regarding the paucity of primary prevention in Australian prisons, results indicate broad levels of support among expert stakeholders for HCV treatment scale-up in prison.

Objectives: The aim of this study is to estimate the potential costs and benefits of three key interventions (computerized physician order entry [CPOE], additional ward pharmacists and bar coding) to help prioritize research to reduce medication errors. Methods: A generic model structure was developed to describe the incidence and impacts of medication errors in hospitals. The model follows pathways from medication error points at alternative stages of the medication pathway through to the outcomes of undetected errors. The model was populated from a systematic review of the medication errors literature combined with novel probabilistic calibration methods. Cost ranges were applied to the interventions, the treatment of preventable adverse drug events (pADEs), and the value of the health lost as a result of an ADE. Results: The model predicts annual health service costs of between £0.3 million and £1 million for the treatment of pADEs in a 400-bed acute hospital in the UK. Including only health service costs, it is uncertain whether any of the three interventions will produce positive net benefits, particularly if high intervention costs are assumed. When the monetary value of lost health is included, all three interventions have a high probability of producing positive net benefits with a mean estimate of around £31.5 million for CPOE over a five-year time horizon. Conclusions: The results identify the potential cost-effectiveness of interventions aimed at medication errors, as well as identifying key drivers of cost-effectiveness that should be specifically addressed in the design of primary evaluations of medication error interventions.